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New Machine Learning Features, Data Integrations, and Upgraded Classification Engines Available in Grooper Version 2.9

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Grooper, the leading intelligent document processing and digital data integration platform announces the release of version 2.9. Included are fourteen new capabilities that enhance machine learning, classification, separation, data integration, and reporting. New Machine Learning Features Machine learning is easier and more powerful. The new Rebuild Training features provide tuning and A/B testing using identical training sets and document training decisions. Integration with Box Built-in integration with Box.com enables file import and export, metadata mapping, data lookups, and more.


Looking into the black box

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… in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. … The intuition is that a hierarchical neural network should be better at …


Emotion Correlation Mining Through Deep Learning Models on Natural Language Text

arXiv.org Artificial Intelligence

Emotion analysis has been attracting researchers' attention. Most previous works in the artificial intelligence field focus on recognizing emotion rather than mining the reason why emotions are not or wrongly recognized. Correlation among emotions contributes to the failure of emotion recognition. In this paper, we try to fill the gap between emotion recognition and emotion correlation mining through natural language text from web news. Correlation among emotions, expressed as the confusion and evolution of emotion, is primarily caused by human emotion cognitive bias. To mine emotion correlation from emotion recognition through text, three kinds of features and two deep neural network models are presented. The emotion confusion law is extracted through orthogonal basis. The emotion evolution law is evaluated from three perspectives, one-step shift, limited-step shifts, and shortest path transfer. The method is validated using three datasets-the titles, the bodies, and the comments of news articles, covering both objective and subjective texts in varying lengths (long and short). The experimental results show that, in subjective comments, emotions are easily mistaken as anger. Comments tend to arouse emotion circulations of love-anger and sadness-anger. In objective news, it is easy to recognize text emotion as love and cause fear-joy circulation. That means, journalists may try to attract attention using fear and joy words but arouse the emotion love instead; After news release, netizens generate emotional comments to express their intense emotions, i.e., anger, sadness, and love. These findings could provide insights for applications regarding affective interaction such as network public sentiment, social media communication, and human-computer interaction.


Writing Action Adventure Fiction And Systems Thinking With Nick Thacker

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The life of a full-time independent author involves wearing many hats. You have to balance your time between learning your craft and pleasing readers with great books, as well as publishing, book marketing, and building a business that will support you for the long-term. In today's interview, Nick Thacker talks about the key aspects of action-adventure thrillers as well as how he runs his publishing company and thoughts on pricing, email list building, and creating systems to avoid overwhelm. In the intro, The Hotsheet reports on the All about Audio conference, publishers start Storyglass, a new podcasting business [The Bookseller], The New York Times acquires a podcast production company [The Verge]; and Amazon Ad reports now incorporate page reads. In the futurist segment, GPT3 takes natural language generation to a new level -- what does this mean for writers? I also recommend The Inevitable by Kevin Kelly and his blog post, 1000 True Fans, and Homo Deus by Yuval Noah Harari. Today's show is sponsored by IngramSpark, who I use to print and distribute my print-on-demand books to 39,000 retailers including independent bookstores, schools and universities, libraries and more. Nick Thacker is the USA Today bestselling author of action-adventure thrillers. His non-fiction books for authors include Platform Mastery and BookBub Mastery. You can listen above or on your favorite podcast app or read the notes and links below. Here are the highlights and the full transcript is below. You can find Nick Thacker at NickThacker.com and on Twitter @NickThacker Joanna: Nick Thacker is the'USA Today' bestselling author of action-adventure thrillers. His nonfiction books for authors include Platform Mastery and BookBub Mastery. It's good to be here, it's good to be talking to you again. Joanna: It's great to have you on the show. Nick: I was late to get to writing. I grew up reading a lot and never really liked writing.


AI Approach Relies on Big Data and Machine Learning to Design New Proteins

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By developing machine-learning models that can review protein information culled from genome databases, the scientists say they found relatively …


Utilizing Machine Learning for Better Bioprocess Development

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In machine learning (ML), machines—computer programs—learn and improve based on the assessment of historical data without being directed to do …



Machine learning: It's all about the data

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Machine learning is an application of AI that provides systems the ability to automatically learn and improve from experience without being explicitly …


Machine Learning Accuracy Assessment and How to Improve Outputs

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If you managed to build a machine learning model and find yourself with the right problem to solve and the right data and algorithms to apply, what's next …